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It is raining mice and voles: which weather conditions influence the activity of Apodemus flavicollis and Myodes glareolus?

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SHORT COMMUNICATION

It is raining mice and voles: which weather conditions influence

the activity of Apodemus flavicollis and Myodes glareolus?

Aleksandra Wróbel&Michał Bogdziewicz

Received: 12 November 2014 / Revised: 17 December 2014 / Accepted: 21 December 2014 # The Author(s) 2015. This article is published with open access at Springerlink.com Abstract Rodents constitute a crucial part of food chains in

many ecosystems; thus, changes in their activity might influ-ence many other species in the community. Moreover, daily variations in activity appear to be an important adaptation, helping rodents to cope with fluctuating intensity of predation pressure and food availability. We investigated how the nightly activity of the yellow-necked mouse (Apodemus flavicollis) and the bank vole (Myodes glareolus) changes with weather conditions. Increased cloud cover enhanced activity of mice, but this effect tended to be weaker during the full moon. In turn, the activity of bank voles was positively influenced by moon phase regardless of cloud cover. Temperature had a negative effect on the activity of both species. Rainfall positively influ-enced A. flavicollis capture numbers, but tended to decrease the activity of M. glareolus. Therefore, while the activity of both mice and voles was under a strong influence of weather vari-ables, their responses to weather were largely species specific. Keywords Apodemus flavicollis . Daily activity . Myodes glareolus . Rodent activity . Small mammals . Weather conditions

Introduction

Weather conditions strongly affect animal activity (Vickery and Bider1981; Pucek et al. 1993; LaHaye et al. 2004).

Therefore, exploration of the relationship between animal be-havior and weather is essential for a reliable description of population parameters (Cresswell et al. 1999; Orrock et al. 2004; Díaz et al. 2010; Upham and Hafner2013; Vignoli and Luiselli 2013). Rodents are expected to be particularly sensitive to changes in weather conditions for several reasons. Their small body size and high body surface-to-volume ratio makes them vulnerable to heat loss when weather conditions are disadvantageous and results in high metabolic rates (Schmidt-Nielsen1975). Furthermore, rodents are preyed on by many predators; thus, they strive to minimize predation risk behaviorally, by exhibiting considerable plasticity of daily activity patterns in relation to signals indicating such risk. These signals include clues provided by weather conditions (Orrock et al.2004; Upham and Hafner2013). Consequently, small mammals must constantly balance foraging and avoiding factors that increase mortality, including disadvanta-geous weather conditions. They can modify foraging patterns, intensity of intraspecific interactions, and overall daily activity when the weather changes (Stokes et al.2001). Variation in rodent activity may strongly affect other species, e.g., their predators (Lindström and Hörnfeldt 1994; LaHaye et al. 2004; Sábato et al.2006) or prey (Vander Wall et al.2005; Perea et al.2011). Understanding behavioral patterns of ro-dents can help explaining changes in activity of other species in the community.

Yellow-necked mouse (Apodemus flavicollis) and bank vole (Myodes glareolus) are among the most numerous rodent species in Eastern Europe (Niedzialkowska et al.2010). Nev-ertheless, the influence of weather conditions on their daily activity is not well described. Many studies have focused on species of rodents living in other regions, e.g., sigmodontines in Brazil (Maestri and Marinho2014), mice (Peromyscus sp.) (Vickery and Bider1981) and voles (Myodes sp.) in North America (Vickery and Bider 1981; Maguire 1999), and the wood mouse (Apodemus sylvaticus) in Europe (Plesner Jensen Communicated by P. Acevedo

A. Wróbel (*)

:

M. Bogdziewicz

Faculty of Biology, Institute of Environmental Biology, Department of Systematic Zoology, Adam Mickiewicz University, Umultowska 89, 61-614 Poznań, Poland

e-mail: wrobel_a1@wp.pl M. Bogdziewicz

e-mail: michalbogdziewicz@gmail.com Eur J Wildl Res

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and Honess1995). Studies conducted on the yellow-necked mouse and the bank vole are presented in seasonal perspec-tive, not in perspective of daily activity (Pucek et al.1993; Gosálbez and Castién1995; Marsh and Harris2000). Mice (Apodemus sp.) and bank voles usually differ in activity attri-butes, e.g., chronotypes (Greenwood1978), and thus, possi-bly, in predation vulnerability as well (Hansson1987). Since these species are sympatric and have common predators, min-imizing the predation risk by one of them may affect mortality of another (Sundell et al.2003).

In the present study, we investigated how the nightly activ-ity of both the yellow-necked mouse and the bank vole chang-es depending on temperature, precipitation, cloud cover, and moon phase. We hypothesized that these rodent species would optimize their behavior in order to maximize energy gains and minimize predation risk in accordance with weather alternations.

Methods

Small mammal trapping

We established eight study plots in managed European beech (Fagus sylvatica) stands in Gorzowska Forest, western Po-land, located 0.2–2 km from one another. We conducted four monthly trapping sessions in June–September each year of the study (2010–2012). On each study plot, we established a small mammal trapping grid (8×8) with 64 live-traps spaced 10 m from each other. Plots were divided into two sets of four, and on each set, trapping was conducted simultaneously for 5 days. Traps were baited and checked at ~08:00 and ~19:00. Animals were assigned to species and individually marked with a uniquely numbered ear tags. During the course of this study, we live-trapped small mammals for 23,040 trap-nights. Meteorological data

Meteorological data was obtained from Polish Institute of Meteorology and Water Management for a meteorological station in Gorzów Wielkopolski located 12 km from the study site. The data included hourly values of cloudiness, which ranged from 0 (no cloud cover) to 8 (complete overcast), as well as temperature (°C), and average daily values of precip-itation (mm). The moon phase for each day of trapping was determined according to the lunar calendar on the website of Moon Information Resource And Guide (http://www. moonconnection.com/).

Data analysis

We analyzed the probability of capture by dividing traps in each night of trapping into those with (1) and without (0)

captures of the focal species (the yellow-necked mouse or the bank vole). The probability of capture was successfully used in many previous studies as an indicator of activity of small and cryptic mammal species (e.g. Maguire1999; Stokes et al. 2001; Upham and Hafner 2013). The analyses were conducted in R using GLMMs fitted by maximum likelihood with Laplace Approximation and logit link function imple-mented via “lme4” package (Bates et al.2011, R Develop-ment Core Team2013). We conducted a separate analysis for each species. In both analyses, the trapping site was included as random effect. Fixed effects included maximum cloudiness during last night (as an indicator of cloud cover), minimum temperature, precipitation (the average rainfall), phase of the moon (1 - new moon, 2 - quarter, 3 - full moon), and the interaction term between cloudiness and moonlight. We added abundance (minimum number known alive (MNKA)) of focal species on the trapping site, year, and month as covariates. We checked for collinearity between variables using variance in-flation factor (VIF) from“AED” package (Zuur et al.2009). All VIF values were less than two, which indicates no collin-earity among covariates (Zuur et al.2009). We standardized the input variables to facilitate the interpretation of the results: this procedure allows direct comparisons of effect sizes of different predictors (Schielzeth2010).

Results Rodent species

We caught 1638 individuals in 2010, 235 in 2011, and 1275 in 2012. Most often captured rodent species were A. flavicollis (63–72 % of all individuals during all years of the study) and M. glareolus (22–30 %). Other rodent species included the striped field mouse (Apodemus agrarius), the harvest mouse (Micromys minutus), and voles Microtus sp., but their low numbers of captures precluded further analyses.

Influence of weather on rodent captures

Increased cloud cover enhanced activity of yellow-necked mice (cloudiness effect in Table1). Nevertheless, this effect tended to be weaker during the full moon (marginally significant neg-ative cloudiness×moon interaction in Table1). The activity of voles but not mice was positively influenced by moon phase regardless of cloud cover. Temperature had a negative effect on both mouse and vole activity. Rainfall positively influenced A. flavicollis capture numbers (Table1), but tended to diminish the activity of M. glareolus. Capture probability of both species differed between years and months and was influenced by abundance of these rodents (A. flavicollis: year χ2,=239.42,

df = 2, p < 0.0001, month χ2,= 100.60, df = 3, p < 0.0001, Eur J Wildl Res

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abundanceχ2,=598.18, df=1, p<0.0001; M. glareolus: year

χ2

,= 58.87, df = 2, p < 0.0001, month χ2,= 93.47, df = 3,

p<0.0001, abundanceχ2,=105.78, df=1, p<0.0001)

Discussion

Our study demonstrates that both yellow-necked mouse and bank vole optimize their behavior due to weather alternations. These changes in activity may be explained by aiming to maximize energy gains and minimize predation risk.

An increase in the ambient temperature had a negative effect on both mouse and vole activity. This impact has often been observed in other rodent species in the temperate climate zone (Vickery and Bider1981; Orrock and Danielson2009). When the difference between ambient and body temperature increases, the metabolic rate is raised as well to compensate for heat loss (Vickery and Bider1981). Thus, low temperatures force rodents to forage more intensively because a higher intake of calories is needed to maintain the appropriate body temperature.

A. flavicollis showed higher capture rates during rainfall. One previous study revealed that the activity of both the yellow-necked mouse and the wood mouse increased during warm, cloudy nights, especially in the presence of light rain (Marten1973). Some researchers suggest that rain helps to mask the sound of movements and the odors emitted by rodents (Vickery and Bider1981; Brown et al.1988). Moreover, mam-malian predators, e.g., weasels, may reduce activity in rainy conditions to avoid the thermoregulatory cost of a wet coat combined with cool temperatures (Brandt and Lambin2005).

Overcast contributed to a higher number of mouse, but not vole captures. Cloud cover appears to be an important indirect clue for rodents, which allows to estimate the potential preda-tion risk better than direct clues, such as urine (scent) of pred-ators (Orrock et al.2004). In contrast to scent, cloud cover confers information on different danger types, i.e., various types of predators that rely on vision when hunting, not on one specific species (Orrock et al. 2004; Orrock and Danielson2009).

Vole capture rates significantly increased with moonlight, but such an effect did not occur for mice. Moreover, this effect was reduced by increasing overcast. A number of studies de-scribed the negative effect of the moon on the nightly activity of rodents (Lima and Dill 1990; Zollner and Lima 1999; Orrock et al.2004; Upham and Hafner2013). Consistent with the predation risk hypothesis, the moonlight is an important clue with respect to predation: the stronger the moonlight, the higher risk of being predated (Lima and Dill1990; Upham and Hafner2013; Prugh and Golden2014). Nevertheless, it has also been shown that the activity of many prey species, including small mammals, may increase with moonlight (Bouskila1995; Zollner and Lima1999; Maestri and Marinho 2014; Prugh and Golden2014). According to the visual acuity hypothesis, moonlight improves not only the vision of the predator, but of the prey as well. During the full moon, the prey is able to detect predators and/or forage more efficiently (Bouskila1995; Prugh and Golden2014). This phenomenon may explain the increased activity of bank voles in our study. However, the responses to moonlight might be mediated by vegetation structure (Díaz1992), making interpretation of its effects more challenging.

Precipitation may reduce prey detectability as well as de-crease small mammal activity, which negatively influences reproduction and survival of species preying on rodents, such as owls (Vickery and Bider 1981; LaHaye et al. 2004) and mammalian predators (Sábato et al.2006). Thus, weather con-ditions may indirectly influence the hunting effectiveness of predators, highly limiting their populations, especially during breeding season.

In conclusion, weather conditions influenced behavior of A. flavicollis and M. glareolus, but the reaction to weather was not the same in these two species. Daily changes in activity appear to be an important adaptation, helping rodents to cope with variation in predation pressure and food availability (Díaz et al. 2010), both of which might be influenced by weather. Small mammals have to maintain the trade-off be-tween predation risk, foraging, and dispersion (Zollner and Lima1999), and this balance appears to be affected by weath-er. Causes of the interspecific differences in small mammal Table 1 The influence of weather variables on the capture probability of yellow-necked mouse and bank vole. Input variables were standardized to allow direct comparisons of effect sizes of particular predictors

Weather variable A. flavicollis M. glareolus

Regression coefficient (±SE) Z P Regression coefficient (±SE) Z P

Cloudiness 0.09 (±0.02) 4.74 <0.0001 0.05 (±0.03) 1.60 0.11

Moon phase 0.03 (±0.02) 1.54 0.12 0.22 (±0.04) 5.23 <0.0001

Temperature −0.15 (±0.02) −6.01 <0.0001 −0.09 (±0.03) −2.82 0.005

Rainfall 0.06 (±0.02) 3.09 0.002 −0.07 (±0.04) −1.73 0.08

Cloudiness×moon phase interaction −0.04 (±0.02) −1.77 0.08 −0.004 (±0.03) −0.12 0.91

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responses to weather conditions could provide an interesting subject for further studies.

Acknowledgments We thank Rafał Zwolak for comments on the first versions of this manuscript and Polish Institute of Meteorology and Water Management for providing meteorological data. Special thanks to Sylwia Dziemian-Zwolak, Milena Zduniak, and many other students for invalu-able help during the field work and Ryszard Zwolak for field vehicle maintenance. The study was supported by Polish Ministry of Science and Higher Education Grant NN304391537, and MB was supported by Adam Mickiewicz Foundation Scholarship.

Ethical approval All capture and handling methods were approved by the Local Ethical Commission for Experiments with Animals in Poznań (permits no. 62/2008 and 13/2012).

Conflict of interest The authors declare that they have no conflict of interest.

Open Access This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.

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